

Master of Science in Machine Learning
- Public University
Department of Computer Science
Master of Science in Machine Learning at Uni Tübingen Overview
One of the most famous programs at University of Tuebingen is Master of Science in Machine Learning at PG course with the duration of 2 years. Indian students applying for Master of Science in Machine Learning program must submit all the required documents as per university guidelines. Indian students must submit proof of English proficiency exams such as IELTS and TOEFL. Indian students must apply as soon as possible, as the seats are limited. University of Tuebingen tuition fee for first-year is EUR 3,000.
Duration | 2 years |
Tuition & Fees | ₹3.07 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
Master of Science in Machine Learning at Uni Tübingen Fees
The first-year tuition fee for the Master of Science in Machine Learning at the University of Tuebingen is EUR 3,000. Moreover, the fee structure for the Master of Science in Machine Learning comprises the first-year tuition fees, supplement charges, facility requirements, and other additional charges offered by the University of Tuebingen.
Apart from the tuition cost and university charges, students should also keep in mind the extra expenses to stay at the university or any nearby accommodation. They are required to manage the finances for various factors like rent, food, transportation, utility, and other personal expenses, which can vary as per the individual.
Check the detailed information on the University of Tuebingen Master of Science in Machine Learning on the fee breakup, from the table below.
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 3,07,110 |
| Fees components | Amount (for 1 year) |
|---|---|
| Insurance | INR 1,12,607 |
| Mandatory Fees | INR 61,422 |
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Master of Science in Machine Learning at Uni Tübingen Entry Requirements
- CGPA - 2.3/4
- Read less
- Applicants must have-
- Bachelor degree in subject related to machine learning i.e. computer science, mathematics, physics, and related fields with grade average of at least 2,30 according to the German grading system (German system: 1,0 is the best grade)
- mathematical skills in scope and on the level of the bachelor of computer science in Tübingen in one- and multi-dimensional calculus, linear algebra, and either numerical mathematics or probability theory (33 CP out of 180 CP in the bachelor).
- Candidates need to have at least mathematics courses equivalent to 27 CP. Between 27 CP and 33 CP the level and content of the mathematics courses matter so please provide the corresponding descriptions of your math courses in you module handbook in your application (and only the corresponding pages not the full module book!).
- skills in programming and in algorithms and data structures (theoretical analyis of algorithms)
- Applicants must have-

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Out of 10
- Marks - 94/120
-
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- Marks - 7/9
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Out of 10
Master of Science in Machine Learning at Uni Tübingen Application Process
- a letter of motivation (1-2 pages maximum)
- APS certificate
- English langauge proficiency proof
- Academic Transcripts
Master of Science in Machine Learning at Uni Tübingen Rankings
| Rank | Rank Publisher |
|---|---|
| #66 | |
| #76 | |
| #151 |
University of TuebingenStudents Ratings & Reviews
- 50% students never faced discrimination in this university

Master of Science in Machine Learning at Uni Tübingen Highlights
- The Master’s program in machine learning offers a wide choice of courses in computer science and, apart from a few mandatory courses, allows students to choose their subjects according to interest. Students will attend lectures, seminars, and project lab courses under the supervision of scientists who introduce them to basic and applied research and current topics in machine learning.
- The Master’s program in machine learning is research-oriented and will enable graduates to analyze, implement, leverage, and modify techniques of machine learning. Education in problem solving capabilities is a central training objective
- Students have the opportunity to advance their knowledge and skills to a level which will allow them to get involved in top national and international research in machine learning and its many applications in the sciences as well as in engineering and other fields.
- This includes a critical discussion of research goals, contents, proposals, and research problems, and requires a high scientific level.
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Tubingen ( Other - Germany)




